Analysis of factors affecting the area of forest and land fires in Indonesia uses spatial regression Geoda and SaTScan

Authors

  • Tuti Purwaningsih Universitas Islam Indonesia
  • Alya Cintami Universitas Islam Indonesia

Keywords:

Rainfall Wind velocity, Fire event, Area of Fire

Abstract

This study discusses the factors that influence the extent of forest and land fires in Indonesia that relate several other factors such as rain, fire events, and wind speed which were the events during 2015. Forest fires are one of the environmental and forest problems that is a local and global concern. Countermeasures have been carried out for a long time but are relatively low. By looking for the best regression model with a significance level of 0.05 or 95% using the Spatial Autoregressive Model (SAR) method, the coefficient of determination of 25.00% is obtained which can be obtained by the research regression model and leaves 75.00% needed by other variables that are variables changed

Author Biography

Tuti Purwaningsih, Universitas Islam Indonesia

Statistics Department

References

https://bps.go.id

https://www.bappenas.go.id/id/

Dubin R. 2009. Spatial Weights. Fotheringham AS, PA Rogerson, editor, Handbook of Spatial Analysis. London: Sage Publications.

Fotheringham, A.S., and Regerson, P.A., (2009), Handbook of Spatial Analysis. Sage Publications, Ltd., London.

Ward MD, Gleditsch KS. 2008. Spatial Regression Models. Los Angeles: Sage Publications, Inc.

Haining Robert. 2004. Spatial Data Analysis Theory and Practice. Cambridge University Press.

Lambert, D.M., Brown, J.P., dan Raymond, J.G.M.F., (2010), A Two-Step Estimator For a Spatial Lag Model of Counts: Theory, Small Sample Performance and Aplication, Journal of Regional Science and Urban Economics, pp. 241-252.

Zhukof, Y., Spatial Autocorrelation, IQQS, Harvard University, Amerika, 2010.

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Published

2019-07-15

Issue

Vol. 12 No. 2: July 2018

Section

Articles

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